| Class | Description |
|---|---|
| AODE |
AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes.
|
| AODEsr |
AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the generalization attribute value.
For more information, see: Fei Zheng, Geoffrey I. |
| WAODE |
WAODE contructs the model called Weightily Averaged One-Dependence Estimators.
For more information, see L. |